Liquid: Language Models are Scalable Multi-modal Generators
Liquid: Language Models are Scalable Multi-modal Generators
We present Liquid, an auto-regressive generation paradigm that seamlessly integrates visual comprehension and generation by tokenizing images into discrete codes and learning these code embeddings alongside text tokens within a shared feature space for both vision and language. Unlike previous multimodal large language model (MLLM), Liquid achieves this integration using …